
Image processing scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
R & D CSE RVCE Bangalore
Data Scientist
June 25, 2026 – Present
Feature-Selection1
July 14, 2020 – July 14, 2020
Feature Selection(curse of dimensionality )
View ProjectFeatureSelection
July 14, 2020 – July 14, 2020
FeatureSelection(The curse of dimensionality refers to the phenomena that occur when classifying, organizing, and analyzing high dimensional data that does not occur in low dimensional spaces, specifically the issue of data sparsity and “closeness” of data.
View Projectfeature-engineering
July 14, 2020 – July 14, 2020
feature-engineering — GitHub repository
View ProjectTransfer-Learning
July 10, 2020 – July 10, 2020
Transfer Learning/ Deep nural network/ CNN/Computer vision
View Projectperson_-Detection_by_Haar-cascades
May 7, 2020 – May 7, 2020
Early approaches for Human Detection In this section, I would focus on Haar cascade and HOG based approaches for human detection. Haar Cascades for Human Detection Haar feature based approach for object detection is proposed by Paul Viola and Michael Jones in their paper “Rapid Object Detection using a Boosted Cascade of Simple Features” published in 2001. This approach is widely used for Face Detection.
View ProjectImageAlignment
April 19, 2020 – April 19, 2020
Align the test image to the reference image of the same object_useing ORB features and compute descriptors.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and machine learning, which aligns with a Data Scientist role. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess collaboration potential or broader cultural fit. The experience at 'R & D CSE RVCE Bangalore' is listed as current but with a future start date, which requires clarification.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.